qualtrics.rune {wizaRdry} | R Documentation |
Parse composite Qualtrics survey into component data frames by variable prefix
Description
This function fetches a Qualtrics data frame containing multiple surveys and separates it into individual data frames for each survey detected in the data. It identifies the appropriate identifier column (e.g., participantId, workerId) and splits the data based on column name prefixes.
Usage
qualtrics.rune(
qualtrics_alias,
institution = NULL,
label = FALSE,
interview_date = NULL,
lower = TRUE
)
Arguments
qualtrics_alias |
Character string specifying the Qualtrics survey alias to retrieve. |
institution |
Character string; default NULL, specify location |
label |
Logical; default TRUE, returns coded values as labels instead of raw values. |
interview_date |
Logical or Date String, returns all data before date |
lower |
default TRUE convert prefixes to lower case |
Details
The function performs the following steps:
Retrieves the raw Qualtrics data using the getSurvey() function
Identifies which identifier column to use (participantId, workerId, PROLIFIC_PID, or src_subject_id)
Determines survey prefixes by analyzing column names
Creates separate dataframes for each survey prefix found
Assigns each dataframe to the global environment with names matching the survey prefixes
Value
Creates multiple dataframes in the global environment, one for each survey detected in the data. Each dataframe is named after its survey prefix.
Examples
## Not run:
# Parse a Qualtrics export containing multiple surveys
qualtrics.rune("combined_surveys", label = FALSE)
# After running, access individual survey dataframes directly:
head(pss) # Access the PSS survey dataframe
head(cesd) # Access the CESD survey dataframe
## End(Not run)